Invention Publication
- Patent Title: System and Method for Hierarchical Factor-based Forecasting
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Application No.: US18083654Application Date: 2022-12-19
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Publication No.: US20230419195A1Publication Date: 2023-12-28
- Inventor: Mrityunjoy Panday
- Applicant: Cognizant Technology Solutions India Pvt. Ltd.
- Applicant Address: US TN Chennai
- Assignee: Cognizant Technology Solutions India Pvt. Ltd.
- Current Assignee: Cognizant Technology Solutions India Pvt. Ltd.
- Current Assignee Address: US TN Chennai
- Priority: IN 2241035796 2022.06.22
- Main IPC: G06Q10/04
- IPC: G06Q10/04 ; G06Q10/0631

Abstract:
The present invention provides for a system and a method for optimised time series forecasting. A time-series dataset is converted corresponding to a system, for which forecast data is to be determined, into data embeddings in the form of a distance vector. A hierarchical clustering of values of the distance vector is performed, wherein the hierarchical clustering comprises creating a high-level cluster by combining two or more local clusters. A hierarchical tree is created based on the hierarchical clustering, wherein the hierarchical tree represents a first level cluster and a second level cluster. A plurality of factors is extracted from each node of the tree and a gaussian process decomposition is applied on the extracted factors from each node of the tree to determine decomposed factors. The decomposed factors represent interpretable components of the extracted factors and a forecast data is determined for system based on decomposed factors.
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